教師資料查詢 | 類別: 期刊論文 | 教師: 陳瑞發 CHEN JUI-FA (瀏覽個人網頁)

標題:Intelligent Infection Surveillance System to assist the Control of Healthcare-Associated Infections
學年
學期
出版(發表)日期2016/07/01
作品名稱Intelligent Infection Surveillance System to assist the Control of Healthcare-Associated Infections
作品名稱(其他語言)
著者Nan-Chen Hsieh, Jui-Fa Chen and Hsin-Che Tsai
單位
出版者
著錄名稱、卷期、頁數Journal of Computers 27(2), pp.36-49
摘要Healthcare-Associated Infections (HAI) are important quality indicators of healthcare, a leading cause of mortality and morbidity worldwide, and contributors to lower medical quality and increases in medical costs. Based on the definition and determining criteria of healthcare-related infections stipulated by Taiwan’s Centers for Disease Control, Department of Health, we created a program for an HAI determining
rule, as well as an HAI monitoring system environment. With a data warehouse and data mining techniques as the core, we integrated all HAI-related data as analytical information for the purpose of decision-making.

Key decision information was presented visually in a dashboard. In this way, infection control professionals
are able to peruse abundant HAI information through a visual interface at anytime, anywhere. Traditionally,
operation is done manually through continuous monitoring and automatic surveillance management. Decision makers can assess measuring indicators in real-time, which is critical to the management of HAI. This also allows HAI control professionals to cross-analyze and understand potential infection trends, and assist hospitals in developing a suitable HAI monitoring mechanism. By using the developed system, we can discover healthcare-related infection abnormalities earlier and provide infection control professionals with the ability to check on and conduct pre-decision analyses .
關鍵字Healthcare-Associated Infections;Healthcare Information Technology;Automatic Surveillance
語言英文(美國)
ISSN1991-1599
期刊性質國外
收錄於EI;
產學合作
通訊作者
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
相關連結
SDGs
  • 良好健康和福祉,產業創新與基礎設施
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